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Importing conversation logs from Dialogflow CX

Hi,

I have enabled "Enable conversation history" in my Dialogflow CX agent to enable basic analytics reporting.

Is there any way I can migrate this data to another agent when exporting?  I am happy with the existing analytics and don't want to setup cloud logging or BigQuery when out of the box reporting is good enough.

Thanks!

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Hi @mark_jones_ebm,

Welcome to Google Cloud Community!

Dialogflow CX does not currently support migrating conversation history. There's no direct way to transfer conversation history data from one Dialogflow CX agent to another. 

The reason why is that the exported agent data does not include conversation history. When exporting, the focus is on the agent's structure, intents, entities, flows, and settings, excluding past user interactions. Additionally, conversation history is stored in different databases than the agent's configuration data.

Here’s what I can recommend: 

  • Prepare for Future Data Needs: Consider setting up Cloud Logging or BigQuery early on if you foresee moving conversation history data later.
  • Utilize Tags and Filters: Use Dialogflow CX tags and filters to organize conversations for easier future analysis.
  • Use Dialogflow CX Built-in Analytics: Gain insights into conversation patterns, performance, and user behavior using Dialogflow CX native analytics.
  • Evaluate Data Importance: Assess if existing conversation history is critical for the new agent; recreate reports gradually if needed.
  • Explore Embedded Analytics: Check if the new agent's analytics can fulfill reporting needs without relying on migrated data.
  • Develop Long-Term Data Strategy: Invest in Cloud Logging or BigQuery for sustained benefits if you expect frequent agent changes or extensive data analysis.

In addition, you may find these general documentation platforms useful:

Ultimately, the best approach will depend on your specific needs and priorities. If you absolutely need to migrate conversation history data, you might need to consider more involved custom solutions or reach out to Google Cloud support for guidance.

I hope the above information is helpful.

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2 REPLIES 2

Hi @mark_jones_ebm,

Welcome to Google Cloud Community!

Dialogflow CX does not currently support migrating conversation history. There's no direct way to transfer conversation history data from one Dialogflow CX agent to another. 

The reason why is that the exported agent data does not include conversation history. When exporting, the focus is on the agent's structure, intents, entities, flows, and settings, excluding past user interactions. Additionally, conversation history is stored in different databases than the agent's configuration data.

Here’s what I can recommend: 

  • Prepare for Future Data Needs: Consider setting up Cloud Logging or BigQuery early on if you foresee moving conversation history data later.
  • Utilize Tags and Filters: Use Dialogflow CX tags and filters to organize conversations for easier future analysis.
  • Use Dialogflow CX Built-in Analytics: Gain insights into conversation patterns, performance, and user behavior using Dialogflow CX native analytics.
  • Evaluate Data Importance: Assess if existing conversation history is critical for the new agent; recreate reports gradually if needed.
  • Explore Embedded Analytics: Check if the new agent's analytics can fulfill reporting needs without relying on migrated data.
  • Develop Long-Term Data Strategy: Invest in Cloud Logging or BigQuery for sustained benefits if you expect frequent agent changes or extensive data analysis.

In addition, you may find these general documentation platforms useful:

Ultimately, the best approach will depend on your specific needs and priorities. If you absolutely need to migrate conversation history data, you might need to consider more involved custom solutions or reach out to Google Cloud support for guidance.

I hope the above information is helpful.

Thanks for responding @dawnberdan .  I thought this may be the route, but just wanted some confirmation.

Thanks!